0 GlobalLogic Inc., a Hitachi Group Company and a leader in digital engineering, has officially confirmed a threefold increase, achieved by its VelocityAI suite of AI-powered SDLC offerings, across full-scale production rollouts in key vertical segments. According to certain reports, the company now projects a 5x year-over-year increase in VelocityAI SDLC impact, with first-quarter results already exceeding expectations. In case you weren’t aware, VelocityAI SDLC is solution specifically designed to provide flexibility, security, and impactful results across the software development lifecycle. This it achieves on the back of a comprehensive, end-to-end approach which, on its part, is capable of guiding enterprises along a delivery cycle, right from human-led to increasingly AI-native software (product) development, deployment, testing, and support. Talk about some of VelocityAI SDLC’s milestones on a slightly deeper level, we begin from how it successfully created value across SDLC (development to support) for an education software solution provider by automating 70% of test cases with 70% coverage. On top of that, the GlobalLogic team also leveraged Copilot to accelerate development efforts. Furthermore, the company established strategic collaboration with a leading telecommunications provider to conceive a robust machine-learning framework which proactively flags anomalies in the billing cycle, all for the purpose of reducing customer care calls by 30%, and call duration by 20%. GlobalLogic also optimized the software development lifecycle for a global smart/green building solutions provider. Here, the company leveraged its many GenAI-enabled tools to automate code generation, unit test case creation, and code optimization. The result was a 15% increase in productivity, significantly reduced development time, as well as an an improvement in code coverage quality by 80%. Talk about GlobalLogic VelocityAI on a slightly deeper level, we begin from its modern product practices Approach, which empowers clients big time in the context of identifying unique needs and optimal integration points for strategic, valuable GenAI adoption at scale. Next up, we must dig into its flexible architecture. The stated architecture treads up a long distance to offer tailored options that can support GenAI integration at up to 80% of its capacity, something it does on the back of GlobalLogic-built accelerators or third-party tools. Another detail worth a mention relates to the solution’s end-to-end nature. You see, one can apply VelocityAI SDLC across the entire digital engineering lifecycle, from ideation to deployment, ensuring seamless AI integration at every stage. The technology is also IP secure, meaning the technology prioritizes safeguarding intellectual property, and at the same time, incorporates compliance with industry standards. Beyond that, we have the prospect of a trained workforce. This translates to how GlobalLogic launched a global GenAI rollout across the entire 30,000+ engineering team with broad adoption through both extensive training and client activities, backed by GlobalLogic-created accelerators, third-party tools, and Agentic AI. Hold on, we still have a few bits left to unpack, considering we haven’t yet touched upon the availability of resource and usage based models that include time and material, token consumption, and Bot-as-a-Service structures where pricing reflects actual effort or usage metrics, such as story points delivered or test cases executed. We also haven’t touched the assortment of scope-driven models. These are basically fixed-fee engagements for well-defined scopes, output-based pricing tied to specific deliverables, and hybrid approaches aligned to SDLC stages or project milestones. Rounding up the highlights would be VelocityAI SDLC’s value-linked models that ensure outcome-based contracts are tied to service-level achievements, value-based models with shared business gains, and performance incentives are linked to measurable productivity improvements such as velocity or throughput. “The future of software development lies in intelligently integrating enterprise-grade GenAI tools across the entire lifecycle, but there’s no ‘one-size-fits-all’ solution,” said Raj Sethi, Senior Vice President of Technology of SDLC at GlobalLogic. “Through our VelocityAI offering, we’re seeing enterprises make the right choices for their unique needs, whether they’re looking for GenAI-enabled enhancements or a fully GenAI-native approach. Our complete, flexible, and secure framework consistently accelerates time-to-market, enhances quality, and helps our clients keep pace with and adapt to an ever-changing technological landscape.” You Might Also Like A Way to Foolproof the Safety of Your Air Travels Treading a New Path to Scale Up the EV Efficiency Introducing a Simpler Take on Making the EV Play Betting on a Controversial Idea to Scale Up Our On-road Prospects